Triple
T9129840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Custis family |
E219054
|
entity |
| Predicate | maritalTie |
P64467
|
FINISHED |
| Object | Martha Dandridge Custis married George Washington |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Martha Dandridge Custis married George Washington | Statement: [Custis family, maritalTie, Martha Dandridge Custis married George Washington]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maritalTie Context triple: [Custis family, maritalTie, Martha Dandridge Custis married George Washington]
-
A.
maritalRelations
chosen
Indicates a legally or socially recognized spousal relationship or marriage-based connection between two entities.
-
B.
maritalBasis
Indicates that the relationship or status in question is founded on, justified by, or determined due to a marital relationship between the involved entities.
-
C.
marriageType
Indicates the specific legal or social category of a marriage relationship that exists between two spouses.
-
D.
marital status
Indicates the legal or social state of a person’s marriage-related relationship, such as being single, married, divorced, or widowed.
-
E.
maritalIssue
Indicates a relationship where there is conflict, dissatisfaction, or significant strain within a marital or committed partnership.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8cdafb48190be5e62b15779d771 |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc6601d77881908299d58db6e64937 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:18 p.m.